Especially, one of the most employed evolutionary techniques among the ones proposed by different authors, is the genetic algorithm (GA) [1]} with its variations [2]}, [3]}, [4]}, [5]}, [6]}, [7]}, [8]}, due to the fact that it has many appealing characteristics. Apart from being able to perform the feature selection without relying on expert knowledge and thus avoiding the introduction of assumptions on the features, as other evolutionary algorithms [9]}, it is robust and efficient [6]}. Moreover, it is versatile, being its configuration easy to modify [11]}.
